GMS location: 476

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.059	0.483	0.495	2.802	NaN	NaN
forest	winter 2016	0.977	0.118	0.372	0.428	2.631	0.476	3.271
baseline	winter 2017	0.965	0.103	0.395	0.461	2.313	NaN	NaN
forest	winter 2017	0.956	0.103	0.315	0.413	2.438	0.473	2.384
baseline	winter 2018	0.986	0.111	0.353	0.429	2.141	NaN	NaN
forest	winter 2018	0.993	0.083	0.320	0.405	2.408	0.460	2.014
baseline	winter 2019	0.985	0.000e+00	0.321	0.408	2.016	NaN	NaN
forest	winter 2019	0.977	0.000e+00	0.255	0.391	1.380	0.457	1.950
baseline	all	0.980	0.085	0.393	0.451	2.802	NaN	NaN
forest	all	0.977	0.085	0.320	0.410	2.631	0.467	2.446

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.059	0.483	0.495	2.802	NaN	NaN
elr	winter 2016	0.983	0.059	0.408	0.477	2.469	0.517	3.424
baseline	winter 2017	0.965	0.103	0.395	0.461	2.313	NaN	NaN
elr	winter 2017	0.965	0.103	0.337	0.441	2.568	0.538	3.476
baseline	winter 2018	0.986	0.111	0.353	0.429	2.141	NaN	NaN
elr	winter 2018	0.993	0.139	0.337	0.437	2.083	0.518	2.974
baseline	winter 2019	0.985	0.000e+00	0.321	0.408	2.016	NaN	NaN
elr	winter 2019	0.977	0.000e+00	0.269	0.407	1.334	0.512	2.971
baseline	all	0.980	0.085	0.393	0.451	2.802	NaN	NaN
elr	all	0.980	0.094	0.342	0.443	2.568	0.521	3.218